How can pairwise deletion affect the correlation between variables?
- It can cause overfitting
- It can deflate the correlation
- It can inflate the correlation
- It can lead to underfitting
Pairwise deletion might inflate the correlation between variables. This is because different pairs of data are used to compute each correlation, which might lead to inconsistencies and overly optimistic estimates of the correlations.
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